Value Members

1.  final def !=(arg0: Any): Boolean

   Definition Classes

   AnyRef → Any

2.  final def ##(): Int

   Definition Classes

   AnyRef → Any

3.  final def ==(arg0: Any): Boolean

   Definition Classes

   AnyRef → Any

4.  def adjust(newX: T, newGrad: T, newVal: Double): (Double, T)

   Attributes

   protected

   Definition Classes

   FirstOrderMinimizer

5.  def adjustFunction(f: StochasticDiffFunction[T]): StochasticDiffFunction[T]

   Attributes

   protected

   Definition Classes

   FirstOrderMinimizer

6.  final def asInstanceOf[T0]: T0

   Definition Classes

   Any

7.  def calculateObjective(f: StochasticDiffFunction[T], x: T, history: History): (Double, T)

   Attributes

   protected

   Definition Classes

   FirstOrderMinimizer

8.  def chooseDescentDirection(state: State, fn: StochasticDiffFunction[T]): T

   Attributes

   protected

   Definition Classes

   StochasticGradientDescent → FirstOrderMinimizer

9.  def clone(): AnyRef

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @throws( ... )

10.  val convergenceCheck: ConvergenceCheck[T]

    Definition Classes

    FirstOrderMinimizer

11.  val defaultStepSize: Double

    Definition Classes

    StochasticGradientDescent

12.  def determineStepSize(state: State, f: StochasticDiffFunction[T], dir: T): Double

    Choose a step size scale for this iteration.

    Choose a step size scale for this iteration.

    Default is eta / math.pow(state.iter + 1,2.0 / 3.0)

    Definition Classes

    StochasticGradientDescent → FirstOrderMinimizer

13.  final def eq(arg0: AnyRef): Boolean

    Definition Classes

    AnyRef

14.  def equals(arg0: Any): Boolean

    Definition Classes

    AnyRef → Any

15.  def finalize(): Unit

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( classOf[java.lang.Throwable] )

16.  final def getClass(): Class[_]

    Definition Classes

    AnyRef → Any

17.  def hashCode(): Int

    Definition Classes

    AnyRef → Any

18.  def infiniteIterations(f: StochasticDiffFunction[T], state: State): Iterator[State]

    Definition Classes

    FirstOrderMinimizer

19.  def initialHistory(f: StochasticDiffFunction[T], init: T): Unit

    Definition Classes

    SimpleSGD → FirstOrderMinimizer

20.  def initialState(f: StochasticDiffFunction[T], init: T): State

    Attributes

    protected

    Definition Classes

    FirstOrderMinimizer

21.  final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

22.  def iterations(f: StochasticDiffFunction[T], init: T): Iterator[State]

    Definition Classes

    FirstOrderMinimizer

23.  def logger: LazyLogger

    Attributes

    protected

    Definition Classes

    SerializableLogging

24.  val maxIter: Int

    Definition Classes

    StochasticGradientDescent

25.  def minimize(f: StochasticDiffFunction[T], init: T): T

    Definition Classes

    FirstOrderMinimizer → Minimizer

26.  def minimizeAndReturnState(f: StochasticDiffFunction[T], init: T): State

    Definition Classes

    FirstOrderMinimizer

27.  final def ne(arg0: AnyRef): Boolean

    Definition Classes

    AnyRef

28.  final def notify(): Unit

    Definition Classes

    AnyRef

29.  final def notifyAll(): Unit

    Definition Classes

    AnyRef

30.  final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes

    AnyRef

31.  def takeStep(state: State, dir: T, stepSize: Double): T

    Projects the vector x onto whatever ball is needed.

    Projects the vector x onto whatever ball is needed. Can also incorporate regularization, or whatever.

    Default just takes a step

    Attributes

    protected

    Definition Classes

    StochasticGradientDescent → FirstOrderMinimizer

32.  def toString(): String

    Definition Classes

    AnyRef → Any

33.  def updateHistory(newX: T, newGrad: T, newValue: Double, f: StochasticDiffFunction[T], oldState: State): Unit

    Definition Classes

    SimpleSGD → FirstOrderMinimizer

34.  implicit val vspace: NormedModule[T, Double]

    Attributes

    protected

    Definition Classes

    StochasticGradientDescent

35.  final def wait(): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

36.  final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

37.  final def wait(arg0: Long): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )